The Evolution of Remote Sensing for Regional Characterization and Response to Geohazards and Extreme Events
DOI:
https://doi.org/10.64862/Keywords:
Lidar, InSAR, Lidar change detection, Earth observation, Remote sensing, Resilience, GIS, rdNDVIAbstract
Regional remote sensing provides large-area observation capabilities that support geo-asset management, geohazard monitoring, and post-event recovery, particularly under changing climate conditions. Recent advances have expanded what is possible, driven by both technological innovation and the increasing democratization of data. Freely accessible datasets such as satellite-derived Interferometric Synthetic Aperture Radar (InSAR), soil moisture products, vegetation health indices, and high-resolution terrain models derived from aerial lidar are becoming widely available. These resources, when interpreted together, enable improved understanding of ground movement, environmental change, and hazard vulnerability across broad regions. However, the value lies not only in access to data, but in converting it into actionable knowledge. Cloud-based geospatial platforms now allow efficient integration, visualization, and interpretation of large, diverse datasets on a scale. This evolution supports communities and infrastructure networks in identifying risks, prioritizing interventions, and accelerating recovery, thereby providing a pathway to building resilience to extreme events.
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